Elon Musk's xAI has introduced Grok 4.7, its most capable model yet for coding and knowledge work. It's built on a larger base model, trained with longer reinforcement learning, and designed to better verify its own output, according to the company. Pricing sits at $2 per million input tokens and $6 per million output tokens. Those rates are closer to Chinese models than Western frontier models, probably for good reason. On the independent Artificial Analysis Intelligence Index：https://artificialanalysis.ai/models/grok-4-7 (v4.3.2), which combines ten benchmarks, Grok 4.7 scores 46 and lands mid-pack. Claude Fable 5.1 and GPT-6 lead with 53 each.
The gap grows wider in agentic coding. On Terminal-Bench 4.0, Grok 4.7 hits just 26 percent, versus 60 percent for GPT-6 Astra and 55 percent for Claude Fable 5.1. Even the cheaper DeepSeek V4.1 Flash：https://the-decoder.com/new-deepseek-model-v4-1-flash-cuts-memory-needs-for-ai-agents/ edges past it at 27 percent. The model is available through the Grok API：https://console.x.ai/, Cursor：https://cursor.com/, and Grok Build：https://x.ai/build.
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